Cloudthink: A Scalable Secure Platform for Mirroring Transportation Systems in the Cloud

Abstract

Abstract. We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink infrastructure promotes the commoditization of vehicle telematics data by facilitating easier, flexible, and more secure access. It enables drivers to confidently share their vehicle information across multiple applications to improve the transportation experience for all stakeholders, as well as to potentially monetize their data. The foundations for an application ecosystem have been developed which, taken together with the fair value for driving data and low barriers to entry, will drive adoption of CloudThink as the standard method for projecting physical vehicles into the cloud. The application space initially consists of a few fundamental and important applications (vehicle tethering and remote diagnostics, road-safety monitoring, and fuel economy analysis) but as CloudThink begins to gain widespread adoption, the multiplexing of applications on the same data structure and set will accelerate its adoption.

The Future Internet of Things: Secure, Efficient, and Model-Based

“…It applies context information to supervise systems and to protect them against malicious commands, fuses data to provide difficult to obtain measurements, and uses estimation to minimize sampling cost. Together with clear ownership policies and data sharing visualizations [10], [11], this architecture's use of abstraction and creation of "black boxed" aggregate data addresses privacy concerns.…”

“…Frequently, these privacy challenges revolve around data ownership and sharing policies [2]. While some platforms default to opt-out sharing, others have proposed relying upon opt-in sharing [10] and data visualization tools [11] to ameliorate user fears of data abuse. Such policies and tools are critical to improving user acceptance of IoT platforms and will be integral to an improved architecture addressing today's common concerns.…”

“…A Cloud system mirrors one or several devices or systems, storing information centrally for multiple use. These mirrors may combine data from different sources, applying additional processing to filter data and aggregate results [10].…”

Improving Viability of Electric Taxis by Taxi Service Strategy Optimization: A Big Data Study of New York City

“…Analyzing taxi trip dataset has been considered by several research papers in the subjects of knowledge discovery and cloud-based intelligent transportation systems [4]. One of the popular topics is the profit/revenue improvement for taxi drivers by developing a recommender system for assisting the drivers to find passengers more efficiently.…”

“…Note that there are other charging stations requiring memberships, and are not considered in this study. To estimate the minimum required energy consumption E e t (i, r(i)) to the nearest charging station r(i) at junction i at time t, the minimum distance between the junction and the nearest charging station is obtained as follows: 4 See [18] for an empirical measurement study 1) Spatialite is used to find the nearest charging station r(i) for junction i in the road network by the shortest distance. 2) The shortest distance is converted into the required driving time based on the driving speed network.…”